82 structural-reliability-analysis Postdoctoral positions at The Ohio State University
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, and close collaboration with experimental and clinical teams. Primary Responsibilities · Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA
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of considerable scope and complexity; coordinate the processing and analysis of data; develop and troubleshoot new experimental techniques and protocols; attend research seminars and conferences; draft and publish
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executing research projects involving three-dimensional imaging, intraoral scanning, digital metrology, computational analysis, surgical guidance systems, and related biomedical technologies. This position
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. Experience with conjoint analysis (e.g., discrete choice experiments and best-worst scaling), experience with large scale survey and retail data, portfolio in substance use or other health-related areas, and
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bioinformatics analysis of single-cell and bulk RNA sequencing datasets is preferred. Minimum Education & Experience Required To be considered for this Postdoctoral Scholar position, candidates must possess a Ph.D
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theory, analysis of Roman commissioning and early GBTDS data, support for event-analysis and planet occurrence-rate pipelines, and the publication of scientific results based on Roman exoplanet data
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to bioinformatics/omics analyses such as scRNA-seq, ATAC-seq, and AI-assisted data analysis. The candidate will also assist in mentoring trainees at various levels, including undergraduate and graduate students, as
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projects. 15%: Data analysis and dissemination in peer-reviewed publications Data sharing in presentations in regional, national, and international conferences. 10%: Train peers and junior research staff
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teaching of one course per academic year. Qualifications: Education: Ph.D. in Solid State Electronic Device Structures Required: A Ph.D. in Electrical & Computer Engineering, or a related field
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design